Výsledky vyhľadávania - "Convolutional autoencoder network"

Image Dehazing Using a Convolutional Autoencoder Network with Integrated Convolutional Block Attention

Autori: Rastegar, Homayoun Khotanlou, Hassan

Convolutional autoencoder network lithology recognition based on scratch tests

Autori: Suling Wang Zhihui Ren Kangxing Dong a ďalší

Zdroj: Scientific Reports. 15

Cascaded hybrid convolutional autoencoder network for spectral-spatial nonlinear hyperspectral unmixing

Autori: Jinbin Wu Jiankang Zhao Haihui Long

Zdroj: International Journal of Remote Sensing. 45:9267-9286

A targeted one dimensional fully convolutional autoencoder network for intelligent compression of magnetic flux leakage data

Autori: Wenbo Xuan Pengchao Chen Rui Li a ďalší

Zdroj: Sci Rep
Scientific Reports, Vol 15, Iss 1, Pp 1-13 (2025)

Predmety: Science, Medicine, Article

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/40181135
https://doaj.org/article/843300ddd0b346febc0e8d2382397ead

Looseness Identification of Track Fasteners Based on Ultra-Weak FBG Sensing Technology and Convolutional Autoencoder Network

Autori: Li, Sheng Jin, Liang Jiang, Jinpeng a ďalší

Zdroj: Sensors. 22(15)

Predmety: Data Management and Data Science, Civil Engineering, Information and Computing Sciences, Engineering, Clinical Research, Railroads, Technology, feature identification, track fastener looseness, distributed vibration, convolutional autoencoder network, pseudo-Hilbert scan, ultra-weak fiber optic Bragg grating, Analytical Chemistry, Environmental Science and Management, Ecology, Distributed Computing, Electrical and Electronic Engineering, Electrical engineering, Electronics, sensors and digital hardware, Environmental management, Distributed computing and systems software

Popis súboru: application/pdf

Prístupová URL adresa: https://escholarship.org/uc/item/4jq321md
https://escholarship.org/content/qt4jq321md/qt4jq321md.pdf

A Novel Spatiotemporal Enhanced Convolutional Autoencoder Network for Unsupervised Health Indicator Construction

Autori: Shuaiyong Li Chao Zhang Xuyuntao Zhang

Zdroj: IEEE Transactions on Instrumentation and Measurement. 73:1-10

Speech Enhancement using Convolutional Autoencoder Network

Autori: Subhadeep Sengupta Pranav Rihal Allwin D’Souza

Zdroj: INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT. :1-11

Spatiotemporal Image-Based Flight Trajectory Clustering Model with Deep Convolutional Autoencoder Network

Autori: Ye Liu Kam K. H. Ng Nana Chu a ďalší

Zdroj: Journal of Aerospace Information Systems. 20:575-587

Predmety: 0502 economics and business, 05 social sciences, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Domestic Activity Clustering from Audio via Depthwise Separable Convolutional Autoencoder Network

Autori: Li, Yanxiong Cao, Wenchang Drossos, Konstantinos a ďalší

Prispievatelia: Li, Yanxiong Cao, Wenchang Drossos, Konstantinos a ďalší

Zdroj: 2022 IEEE 24th International Workshop on Multimedia Signal Processing (MMSP). :1-6

Predmety: FOS: Computer and information sciences, Sound (cs.SD), Audio and Speech Processing (eess.AS), FOS: Electrical engineering, electronic engineering, information engineering, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 113 Computer and information sciences, Computer Science - Sound, Electrical Engineering and Systems Science - Audio and Speech Processing

Popis súboru: fulltext

Prístupová URL adresa: http://arxiv.org/abs/2208.02406
https://trepo.tuni.fi/handle/10024/150616

CAEM-GBDT: a cancer subtype identifying method using multi-omics data and convolutional autoencoder network

Autori: Jiquan Shen Xuanhui Guo Hanwen Bai a ďalší

Zdroj: Front Bioinform
Frontiers in Bioinformatics, Vol 4 (2024)

Predmety: 0301 basic medicine, 03 medical and health sciences, Bioinformatics, Computer applications to medicine. Medical informatics, 0206 medical engineering, R858-859.7, convolutional block attention module, cancer subtype, 02 engineering and technology, cancer subtype identification, multi-omics, convolutional autoencode, 3. Good health

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/39077754
https://doaj.org/article/4f014307b12741179c935d5f6d0a9626

Predicting Wave Propagation for Varying Bathymetry Using Conditional Convolutional Autoencoder Network

Autori: Indu Kant Deo Akash Vankateshwaran Rajeev Jaiman

Zdroj: Volume 6: Polar and Arctic Sciences and Technology; CFD, FSI, and AI.

Predmety: 14. Life underwater

Inpainting non-anatomical objects in brain imaging using enhanced deep convolutional autoencoder network

Autori: Puranam Revanth Kumar B Shilpa Rajesh Kumar Jha a ďalší

Zdroj: Sādhanā. 49

Mineral Prospectivity Prediction by Integration of Convolutional Autoencoder Network and Random Forest

Autori: Na Yang Zhenkai Zhang Jianhua Yang a ďalší

Zdroj: Natural Resources Research. 31:1103-1119

Predmety: 0101 mathematics, 01 natural sciences, 0105 earth and related environmental sciences

Sparsity Constrained Convolutional Autoencoder Network for Hyperspectral Image Unmixing

Autori: Tao Huang Zhengang Zhao Yuchen Liang a ďalší

Zdroj: 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS. :3317-3320

Predmety: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Prístupová URL adresa: https://ieeexplore.ieee.org/document/9553239
https://dblp.uni-trier.de/db/conf/igarss/igarss2021.html#ZhaoWLHXY21

Vector Quantized Convolutional Autoencoder Network for LDCT Image Reconstruction with Hybrid Loss

Autori: Shalini Ramanathan Mohan Ramasundaram

Zdroj: SN Computer Science. 5

Facial Image Denoising Using Convolutional Autoencoder Network

Autori: Naing Min Tun Alexander Gavrilov Nyan Linn Tun

Zdroj: 2020 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM). :1-5

Predmety: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Prístupová URL adresa: https://ieeexplore.ieee.org/document/9112080/

Local phase-constrained convolutional autoencoder network for identifying multivariate geochemical anomalies

Autori: Qiliang Liu Gusheng Wu Zhankun Liu a ďalší

Zdroj: Computers & Geosciences. 191:105679

Binarization Strategy Using Multiple Convolutional Autoencoder Network for Old Sundanese Manuscript Images

Autori: Erick Paulus Jean-Christophe Burie Fons J. Verbeek a ďalší

Prispievatelia: Erick Paulus Jean-Christophe Burie Fons J. Verbeek a ďalší

Zdroj: Lecture Notes in Computer Science ISBN: 9783030861582

Predmety: 2. Zero hunger, Deep Learning, Palm Leaf Manuscript, Autoencoder, 15. Life on land, Binarization, 7. Clean energy

Popis súboru: application/pdf

Prístupová URL adresa: https://scholarlypublications.universiteitleiden.nl/access/item%3A3238870/view
https://scholarlypublications.universiteitleiden.nl/handle/1887/3238869/
https://link.springer.com/chapter/10.1007/978-3-030-86159-9_10
https://doi.org/10.1007/978-3-030-86159-9_10
https://dblp.uni-trier.de/db/conf/icdar/icdar2021w-2.html#PaulusBV21
https://hdl.handle.net/1887/3238869

Spatial Pyramid Pooling based Convolutional Autoencoder Network for Loop Closure Detection

Autori: Jun Cheng Qieshi Zhang Rong Xiang a ďalší

Zdroj: 2019 IEEE International Conference on Real-time Computing and Robotics (RCAR). :714-719

Predmety: 0209 industrial biotechnology, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Prístupová URL adresa: https://dblp.uni-trier.de/db/conf/rcar/rcar2019.html#XiangLZC19
https://doi.org/10.1109/RCAR47638.2019.9044155

Multi-stage convolutional autoencoder network for hyperspectral unmixing

Autori: Yang Yu Yong Ma Xiaoguang Mei a ďalší

Zdroj: International Journal of Applied Earth Observations and Geoinformation, Vol 113, Iss , Pp 102981- (2022)

Predmety: Hyperspectral unmixing, Linear mixing model, Multi-stage learning, Convolutional neural network, Progressively unmixing, Physical geography, GB3-5030, Environmental sciences, GE1-350

Popis súboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S1569843222001728; https://doaj.org/toc/1569-8432

Prístupová URL adresa: https://doaj.org/article/595628a46d9948038ed9dcd148f88da5